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Papers tagged with "Mape"
A Deep Learning Approach For Predicting Crypto Currency Prices Trends
Machine Learning And Deep Learning Models Are Being Extensively Used At The Backend Of Forecasting Crypto Prices. Many Factors, Including Changes In Regulation, Public Opinion On Social Media, Investor Actions, And Overall Global Economic T...
A Review On Estimating Cloud Performance Metrics Using Machine Learning And Deep Learning Models
Data Driven Cloud Computing Model Have Resulted In Unprecedented Paradigm Shifts In Cloud Application Development. Many Applications Have Found Data Driven Cloud Computing Models Indispensable Due To The Need For High Performance Computing....
A Deep neural network based model for predicting remanufacturing cost of eol products
Remanufacturing Cost Prediction Is Conducive To Visually Judging The Remanufacturability Of End-of-life (EOL) Products From Economic Perspective. However, Due To The Randomness, Non-linearity Of Remanufacturing Cost And The Lack Of Sufficient...
A Review on Machine Learning and Deep Learning Models for Forecasting Crypto Trends
Crypto Price Prediction Is A Category Of Time Series Prediction Which Extremely Challenging Due To The Dependence Of Crypto Prices On Several Financial, Socioeconomic And Political Parameters Etc. Moreover, Small Inaccuracies In Crypto Pric...
Supply Chain Forecasting Using Neuro Fuzzy Expert Systems
Recently, There Has Been A Substantial Increase In The Demand For Pharmaceutical Products And Pharmaceuticals As A Result Of The Ongoing COVID-19 Situation. There Have Been Multiple Recorded Cases Where A Significant Shortage Of Medication...
FORECASTING THE MOVEMENT OF STOCK TRENDS EMPLOYING DEEP NEURAL NETWORKS
Forecasting The Stock Market Is Difficult And Unpredictable. Numerous Factors, Such As Economic Statistics, Geopolitical Developments, Investor Mood, And Unforeseen Events Like Natural Catastrophes Or Health Crises, Can Have An Impact On Ma...
ESTIMATING THE MOVEMENT OF STOCK PRICES BASED USING ARTIFICIAL NEURAL NETWORKS
Predicting Stock Market Movements Using Neural Networks Is A Popular Application Of Machine Learning. Neural Networks Can Analyze Historical Stock Data And Attempt To Identify Patterns And Trends That Can Be Used To Predict Future Price Mov...
ESTIMATING CLOUD WORKLOADS BASED ON DEEP NEURAL NETWORKS AND GRADIENT DESCENT
Cloud Computing Has Revolutionized Computing Off Late With Several Domains And Applications Resorting To The Cloud Architecture. However Effective Task Scheduling And Load Balancing Is Critical For Cloud Based Servers. This Is Typically A V...
A NEURO FUZZY INFERENCE SYSTEMS BASED METHOD FOR DEMAND FORECASTING FOR SUPPLY CHAINS
Off Late, The Demand For Pharmaceutical Products And Drugs Has Ramped Up Significantly Due To The Ongoing COVID-19 Scenario. Several Instances Have Been Reported Where Large Scarcity Of Drugs Have Led To Fatalities In Patients. Hence, The N...
RECONCILE SECURITY CONSIDERATIONS FOR AUTOMATED VEHICLES
An Automated Vehicle (Self-driving) Is An Emerging Research Area. Presently, Many Industries, Research Organizations And Universities Are Working On Intelligent Vehicles. Some Researchers Are Working On Security Issues Of Intelligent Vehicl...